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Predictor–Corrector Guidance for a Hypersonic Morphing Vehicle.
- Source :
- Aerospace (MDPI Publishing); Sep2023, Vol. 10 Issue 9, p795, 28p
- Publication Year :
- 2023
-
Abstract
- In an effort to address the problem of hypersonic morphing vehicles reaching the target while avoiding no-fly zones, an improved predictor–corrector guidance method is proposed. Firstly, the aircraft motion model and the constraint model are established. Then, the basic algorithm is given. The Q-learning method is used to design the attack angle and sweep angle scheme to ensure that the aircraft can fly over low-altitude zones. The B-spline curve is used to determine the locations of flight path points, and the bank angle scheme is designed using the predictor–corrector method, so that the aircraft can avoid high-altitude zones. Next, the Monte Carlo reinforcement learning (MCRL) method is used to improve the predictor–corrector method and a Deep Neural Network (DNN) is used to fit the reward function. The planning method in this paper realizes the use of a variable sweep angle, while the improved method further improves the performance of the trajectory, including the attainment of greater final speed and a smaller turning angle. The simulation results verify the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- HYPERSONIC planes
NO-fly zones
REINFORCEMENT learning
MODEL airplanes
Subjects
Details
- Language :
- English
- ISSN :
- 22264310
- Volume :
- 10
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Aerospace (MDPI Publishing)
- Publication Type :
- Academic Journal
- Accession number :
- 172358453
- Full Text :
- https://doi.org/10.3390/aerospace10090795